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作 者:吴卓葵[1] 程建兴[1] 谢晓玲[2] 刘芹[1]
机构地区:[1]仲恺农业技术学院机电工程系,广州510225 [2]华南理工大学计算机科学与工程学院,广州510006
出 处:《农机化研究》2008年第8期32-35,共4页Journal of Agricultural Mechanization Research
基 金:广东省计划项目(2007B030402001)
摘 要:为了解决采集土壤墒情数据量庞大而造成的不能长期保存数据的问题,进行了土壤墒情数据压缩方法的研究。根据土壤墒情数据在一定时间内总是在某个范围内波动的特点和压缩性能的要求,提出了一种精度控制式压缩算法。该算法压缩时只存储相对压缩点的增量或减量超过设定精度的采集点和前一个采集点的数据,过滤掉大部分不符合条件的数据。解压缩时,将相邻两个存储点数据的差值均匀分配给中间被过滤掉的数据,实现数据的恢复。实验表明,该压缩算法具有压缩率高和精度可控的优点,实用性强。The collected soil moisture content data cant be preserved for long because it's massive. To solve the problem, compression methods for soil moisture content data is studied. According to the characteristic which is that the value of soil moisture content data always fluctuates in a range and compression performance requirements, a compression algorithm based on precision control is put forward. The data of collected point whose increment or decrement compared with compression point exceeds the setting precision and its previous collected point is only preserved when the algorithm compresses, then most data which doesnt satisfies the requirement is filtered. The difference in value between two adjacent compression points is distributed uniformly to the internal data which is filtered, then data recovery is realized. The experiment results showed that the compression algorithm is suitable for soil moisture content data's compression. It has the advantages of high compression ratio and controllable precision. It has strong practicability.
分 类 号:S15[农业科学—土壤学] TP274[农业科学—农业基础科学]
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